The graph represents a network of 5,021 Twitter users whose tweets in the requested range contained "#GE2019", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 20 December 2019 at 09:59 UTC.
The requested start date was Wednesday, 18 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 7.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-hour, 50-minute period from Tuesday, 17 December 2019 at 12:10 UTC to Wednesday, 18 December 2019 at 01:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 5021
Unique Edges : 6062
Edges With Duplicates : 871
Total Edges : 6933
Number of Edge Types : 3
Mentions : 5771
Tweet : 934
Replies to : 228
Self-Loops : 934
Reciprocated Vertex Pair Ratio : 0.00405786873676782
Reciprocated Edge Ratio : 0.00808293797223687
Connected Components : 646
Single-Vertex Connected Components : 271
Maximum Vertices in a Connected Component : 3497
Maximum Edges in a Connected Component : 5162
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.651841
Graph Density : 0.000225784771687994
Modularity : 0.793821
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 5,021 Twitter users whose tweets in the requested range contained "#GE2019", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 20 December 2019 at 09:59 UTC.
The requested start date was Wednesday, 18 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 7.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-hour, 50-minute period from Tuesday, 17 December 2019 at 12:10 UTC to Wednesday, 18 December 2019 at 01:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : #GE2019
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1026] before,#ge2019 [529] party,going [528] #ge2019,former [528] former,tory [528] tory,whip [528] whip,told [528] told,party [528] going,added [528] added,muppet [528] muppet,today Top Word Pairs in Tweet in G1:
[465] before,#ge2019 [465] #ge2019,former [465] former,tory [465] tory,whip [465] whip,told [465] told,party [465] party,going [465] going,added [465] added,muppet [465] muppet,today Top Word Pairs in Tweet in G2:
[388] before,#ge2019 [382] received,email [382] email,electoral [382] electoral,commission [382] commission,following [382] following,complaint [382] complaint,day [382] day,before [382] #ge2019,laura [381] mfijake,received Top Word Pairs in Tweet in G3:
[20] need,#makeseatsmatchvotes [20] #makeseatsmatchvotes,sign [20] way,mps [20] mps,elected [20] elected,westminster [20] westminster,broken [20] broken,beyond [20] beyond,repair [20] repair,need [9] boris,johnson Top Word Pairs in Tweet in G4:
[61] wrong,mary [61] mary,creagh [61] creagh,bang [61] bang,toxic [61] toxic,jeremy [61] jeremy,corbyn [61] corbyn,wakefield [61] wakefield,voted [61] voted,63 [61] 63,leave Top Word Pairs in Tweet in G5:
[63] europeelects,uk [51] #ge2019,scottories [50] last,week [49] hilarious,last [49] week,anyone [49] anyone,interviewed [49] interviewed,#ge2019 [49] scottories,nicolasturgeon [48] chrissylarsendk,hilarious [48] nicolasturgeon,thes Top Word Pairs in Tweet in G6:
[16] one,trust [16] trust,deliver [16] deliver,impartial [16] impartial,journalism [15] before,#ge2019 [15] journalism,important [12] libdems,uklabour [11] bbclaurak,pretended [11] pretended,slightly [11] slightly,less Top Word Pairs in Tweet in G7:
[21] #ge2019,celebration [20] boris,johnson [19] adore,photo [19] photo,theresa [19] theresa,boris [19] johnson,tonight [19] tonight,#ge2019 [19] celebration,drinks [18] essexcanning,adore [14] #uk,#brexit Top Word Pairs in Tweet in G8:
[139] disgusting,tory [139] tory,bias [139] bias,during [139] during,#ge2019 [139] #ge2019,smears [139] smears,downright [139] downright,lies [139] lies,given [139] given,johnson [138] teamcorbyn4ever,disgusting Top Word Pairs in Tweet in G9:
[74] please,read [74] read,retweet [74] retweet,article [74] article,#labour [74] #labour,lost [74] lost,trying [74] trying,#ge2019 [74] #ge2019,#labourleadership [73] gsoh31,please [70] held,seats Top Word Pairs in Tweet in G10:
[252] 2017,remain [252] remain,2016 [251] 2016,voters [126] voted,#ge2019 [126] #ge2019,2017 [126] voters,65 [126] 65,ldem [126] ldem,22 [126] 22,lab [126] lab,lab Top Replied-To in Entire Graph:
Top Replied-To in G4:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: